The Research Of The Regional Air Pollutant Diffuse Concentration Visualization

The urban environment air related to people's production and life quality, the urban environment air pollution has become a growing concern problem. The main factors that pollute the city air are industry, automobile, civil pollutant source et al. Due to the factors that caused the contaminant diffuse are very complex, it is very difficult to describe it precisely. Therefore, based on some assumptions, many scholars built simulating contaminant trajectory models, these models, though not exactly describe the spread of pollutants; they still in some extent provide us with some judgment basis. And with the research makes progress, diffusion models also are increasing perfection. These models can provide not only the basic data for later research, but also the basis for later pollutants management. Using these data, the staff member can made decisions more correctly; thereby improve people's living and production environment.The values of air pollutant concentration in spatial region are effected by environmental factors, such as:wind speed, wind direction, cloud cover and light intensity. Domestic provinces and cities did a lot of work about the environmental air quality real-time monitoring; they accumulated massive monitoring data in order to provide the basis for government management department more effective control area of environmental quality. Usually, we use atmospheric pollution diffusion model to simulate and forecast atmospheric pollutant distribution in the space, which is used to evaluate the quality of atmospheric environment. The forecasting of the atmospheric environment quality could not only to remind people for high pollution incident that has happened, but also to provide the basis for the proposed effective and reliable reduction measures.This paper accorded to pollution emission monitoring data and the environmental monitoring data of a city, chose high elevation point source model as diffusion model, studied the dispersion law of air pollutant source under different air conditions, through calculating the bear rate of the city's various pollutant sources to air quality monitoring sites, analyzed the influence relationship among discharge points and monitoring stations, and studied the visualization technology to visualize the association relation; Through choosing the reasonable transverse and longitudinal diffusion parameter that pollutant source to discrete sampling points, studied to use simplified method of inverse attribute weight values to access the equivalent points of the isoline in the pollutant diffusion, and use isolines to represent the diffusion model more vividly. Through the study of regional air pollutant concentration data in spatial area, we establish a pollution concentration data grid cube, use the abstract particle to construct the corresponding relationship between pollutant concentration of a grid and the particle radius, and use different scattering models to render the particles, the results show that the rendering of the translucent material in spatial region has better visual effect when the method is used.